In this paper, we propose a method for finding the best piecewise linearization of nonlinear functions. For this aim, we try to obtain the best approximation of a nonlinear function as a piecewise ...

Abstract: Quasilinear control (QLC) theory provides a set of methods intended for the analysis and design of stochastic feedback systems with static nonlinearities. QLC leverages the method of ...

Abstract: We describe a linearization of large-signal scattering functions describing weakly nonlinear device behavior. The linearization takes on a convenient form similar to scattering parameters ...

Due to the difficulties in solving optimisation problems with non-linear constraints, a popular approach is lower the problem complexity by linearization. This repository presents a generic ...

In order to ensure the stability of flow rate and valve pressure difference during gas-water-coal mixture lifting, a multivariable non-singular terminal composite sliding mode (MNTCSM) controller ...

ABSTRACT: A fuzzy logic compensator is designed for feedback linearizable nonlinear systems with deadzone nonlinearity. The classification property of fuzzy logic systems makes them a natural ...

Is your feature request related to a problem? Please describe. SymForce can generate Python linearization functions for factors, which is how you can create factors on-the-fly for use with the ...